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Dynamic Regression Models for Survival Data
In survival analysis there has long been a need for models that goes beyond the Cox model as the proportional hazards assumption often fails in practice. This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and alternat...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2006.
|
| Edición: | 1st ed. 2006. |
| Colección: | Statistics for Biology and Health,
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| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Probabilistic background
- Estimation for filtered counting process data
- Nonparametric procedures for survival data
- Additive Hazards Models
- Multiplicative hazards models
- Multiplicative-Additive hazards models
- Accelerated failure time and transformation models
- Clustered failure time data
- Competing Risks Model
- Marked point process models.